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Figure 6 summarises the mapping process applied to ship Jesign after basic ship requirements have been defined (cf. Table 1). Figure 6 Axiomatic Approach A pplied to Naval Engineering Table 1 - High Level Customer Requirements

Figure 6 summarises the mapping process applied to ship Jesign after basic ship requirements have been defined (cf. Table 1). Figure 6 Axiomatic Approach A pplied to Naval Engineering Table 1 - High Level Customer Requirements

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Figure 1 - Time Related C ost Impacts Figure 1 gives a qualitative indication of the cost impact of decisions throughout a generic acquisition process. This relationship is well known, understood and is essentially intuitive. However, in practice many of the approaches taken in. ship design do not adhere to the principles and practices this relationship alludes to.
Figure 1 - Time Related C ost Impacts Figure 1 gives a qualitative indication of the cost impact of decisions throughout a generic acquisition process. This relationship is well known, understood and is essentially intuitive. However, in practice many of the approaches taken in. ship design do not adhere to the principles and practices this relationship alludes to.
Figure 3 - Andrew's Overall of Ship Design Process
Figure 3 - Andrew's Overall of Ship Design Process
“The ultimate goal of the Axiomatic Design is to establish a science base for design, and to improve design activities by providing the designer with a theoretical foundation based on logical and rational thought processes and tools.” [5]. While the classic and intuitive engineering design process is iterative, the Axiomatic Design process consists of generating basic and independent requirements, and focuses on selecting the best means to achieve the requirements. It breaks down a complex engineering problem into "simple" sub-problems, which are easier to solve: Axiomatic Design is a systems design methodology using matrix methods to systematically analyse the transformation of customer needs (CRs) into functional requirements (FRs), design parameters (DPs) and process variables (PVs). The methodology has been in development since 1990 by Dr. Suh Nam Pyo at MIT, Department of Mechanical Engineering [5]. The product development process is divided into four domains that are connected by three mappings, as shown in Figure 5.
“The ultimate goal of the Axiomatic Design is to establish a science base for design, and to improve design activities by providing the designer with a theoretical foundation based on logical and rational thought processes and tools.” [5]. While the classic and intuitive engineering design process is iterative, the Axiomatic Design process consists of generating basic and independent requirements, and focuses on selecting the best means to achieve the requirements. It breaks down a complex engineering problem into "simple" sub-problems, which are easier to solve: Axiomatic Design is a systems design methodology using matrix methods to systematically analyse the transformation of customer needs (CRs) into functional requirements (FRs), design parameters (DPs) and process variables (PVs). The methodology has been in development since 1990 by Dr. Suh Nam Pyo at MIT, Department of Mechanical Engineering [5]. The product development process is divided into four domains that are connected by three mappings, as shown in Figure 5.
Figure 4 - Cost/Performance trade off So, in simple terms the objective is to set up a series of models and decision matrices to allow a trade-off between ownership costs and effectiveness/performance. This concept is illustrated in Figure 4.
Figure 4 - Cost/Performance trade off So, in simple terms the objective is to set up a series of models and decision matrices to allow a trade-off between ownership costs and effectiveness/performance. This concept is illustrated in Figure 4.
The application of the axiomatic approach to the early ship design stages consists of first identifying the constraints governing the design, then identifying the functional requirements and the associated design parameters.
The application of the axiomatic approach to the early ship design stages consists of first identifying the constraints governing the design, then identifying the functional requirements and the associated design parameters.
Table 4 - Additional Design C onstraints Their analysis results in the formulation of a decoupled design, illustrated by a lower triangular design matrix (cf. Equation 2) where the Independence Axiom is respected and the Information Axiom is satisfied.
Table 4 - Additional Design C onstraints Their analysis results in the formulation of a decoupled design, illustrated by a lower triangular design matrix (cf. Equation 2) where the Independence Axiom is respected and the Information Axiom is satisfied.
The process starts with the design of ship's systems that define the weight, space and area requirements. The hull is finally designed using the quantities imposed by the design of the ship's systems (DP1, DP2, DP3, DP4, and DP 5) and the performances defined by the customer attributes (CAs). The resulting synthesis model process is shown in Figure 7. The above operation allows the representation of a simplified and systematized design, where the influence of a design parameter on the functional requirements is well defined, and understood.
The process starts with the design of ship's systems that define the weight, space and area requirements. The hull is finally designed using the quantities imposed by the design of the ship's systems (DP1, DP2, DP3, DP4, and DP 5) and the performances defined by the customer attributes (CAs). The resulting synthesis model process is shown in Figure 7. The above operation allows the representation of a simplified and systematized design, where the influence of a design parameter on the functional requirements is well defined, and understood.
By this means, ship system costs are optimised during the design process and overall ship cost is assessed when the design has converged. This is a complex process for Naval ships. Figure 8 - Cost Oriented - Functional Ship Design Process (BMT D&T)
By this means, ship system costs are optimised during the design process and overall ship cost is assessed when the design has converged. This is a complex process for Naval ships. Figure 8 - Cost Oriented - Functional Ship Design Process (BMT D&T)
Figure 9 Set-Based Design process [10] For each system, the ranges of solution and associated requirements on other systems are communicated to each engineering discipline. Regions of feasibility are assessed by intersection of the different range of solution (cf. Figure 9). The range of solution for each discipline is reduced by elimination of subsystems solution that do not contribute to the total system solution. As the design space reduces in size, the level of detail increases and risk and cost estimates are evaluated with increasing accuracy.
Figure 9 Set-Based Design process [10] For each system, the ranges of solution and associated requirements on other systems are communicated to each engineering discipline. Regions of feasibility are assessed by intersection of the different range of solution (cf. Figure 9). The range of solution for each discipline is reduced by elimination of subsystems solution that do not contribute to the total system solution. As the design space reduces in size, the level of detail increases and risk and cost estimates are evaluated with increasing accuracy.
designers. Instead of trying to modify the initial concept to reach convergence and stability of design, the process focuses on designing the appropriate hull form to support the ship's systems. The ship is a platform that supports various complex systems and allows them to be moved through the water with performances fixed by the designer.
designers. Instead of trying to modify the initial concept to reach convergence and stability of design, the process focuses on designing the appropriate hull form to support the ship's systems. The ship is a platform that supports various complex systems and allows them to be moved through the water with performances fixed by the designer.
Figure 11 - Example of Fuzzy Logic
Figure 11 - Example of Fuzzy Logic
Figure 12 - Block C oefficient Definition
Figure 12 - Block C oefficient Definition
Related topics:
Naval EngineeringShip DesignNaval Architecture and Marine Engineering
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